Unlock complex document data
Extract critical information from contracts, amendments, side letters, scans, tables, and other complex content.
01 The Media & Entertainment Challenge
Rights and deal information is fragmented across PDFs, spreadsheets, repositories, legacy systems, acquired companies, and business units. Teams cannot easily answer questions across the complete document estate, and AI tools lack consistent, governed data for reliable research and workflows. That's where xMentium comes in.
Data Sources: MIT Project NANDA, The State of AI in Business 2025. McKinsey, The State of AI 2025 (November 2025, n=1,993 executives, 105 countries).
02 What We Do
xMentium extracts high-accuracy metadata and insights from your proprietary documents, creating a trusted data foundation that people, applications, analytics, and AI can reliably use at scale.
Extract critical information from contracts, amendments, side letters, scans, tables, and other complex content.
Transform fragmented document content into consistent metadata, relationships, and reusable structured data.
Turn decades of operational knowledge into decision-ready data for people, analytics, applications, and AI.
Put structured intelligence to work across existing platforms and workflows, without replacing your technology stack.
03 How It Works
Rights and deal documents are complex, with critical information embedded across text, scans, tables, and layouts. A special processing engine is required to maximize accuracy, speed, and scale and minimize cost.
Connect to your documents: import PDFs, scans, images, and other formats from existing repositories.
Create consistent structure: automatically classify documents against your defined taxonomy.
Unlock the data inside: extract tables, metadata, content, and context into structured, machine-readable data.
Put trusted data to work: validate results and deliver structured data directly to the systems and AI tools that need it.
04 The Need: Market Perspective
Customers across every industry and segment moved from AI experimentation to deploying AI for real-world business outcomes. The winning companies are building intelligence platforms specifically so the value of AI accrues to the customer, not the model.
You want to ensure that your actions or any generated content is backed by trusted and verifiable data sources … When it comes to AI agents, it's not about feeding them everything. It's about feeding them the right things. You want precision, not just volume.
The acquired company had 30 years of technical documentation and customer records in various formats and systems. xMentium helped us extract and preserve critical operational knowledge that would have taken years to manually review, preventing significant knowledge loss during the integration.
Pull the thread on each of these cases [for GenAI], and it will lead back to data. Your data and its underlying foundations are the determining factors to what's possible with generative AI.
We were flying blind. xMentium gave us rapid visibility into thousands of our contracts. We found missed obligations and billing correction opportunities in days.
Building a modern data foundation is the first investment companies must make to realize the true value of AI and gen AI.
As open source models close the performance gap with proprietary ones, the differentiator shifts from which model you use to what data you feed it.
Bad inputs lead to bad outputs. Organizations need to ensure the proprietary data they're feeding to AI models is reliable and accurate … Otherwise, it can make the model perform worse.
05 How We're Different
xMentium combines specialized document processing with enterprise-scale architecture to deliver trusted, structured data across even the most complex rights and deal content.
Extract intelligence across scans, dense tables, contracts, amendments, side letters, and other multimodal documents.
Orchestrate OCR, VLMs, LLMs, custom models, and deterministic methods based on the content and task.
Delivers ~95% extraction accuracy while processing 100K+ documents per day, with human review where it matters.
Deliver structured, reusable metadata upstream so AI, analytics, and workflows downstream operate on more dependable data.
xMentium is a Microsoft AI Solutions Designation–certified Document Intelligence platform. We connect with your existing repositories, extract the intelligence inside, and deliver structured data for the systems that need it.
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DatabricksGoogle Cloud06 Media & Entertainment Use Cases
Select a use case to explore
Structure rights granted, territories, windows, restrictions, exclusivity, and holdbacks so teams can research where content can be used, for how long, and under what conditions.

Make deal type, counterparties, obligations, and talent credits easier to find, connect, and use across fragmented repositories and legacy collections.

Structure financial terms, payment obligations, and commercial provisions so finance teams can analyze obligations and commitments across document collections.

Turn fragmented deal information into consistent, source-linked data that supports dashboards and cross-entity visibility for leadership.

Transform fragmented document archives into structured, governed data that can be reused across AI, analytics, applications, and existing repositories.

07 The Real Business Impact
A consistent data layer across fragmented repositories supports cross-entity research, rights views, dashboards, business affairs and finance workflows, and grounded AI.
08 FAQs
AI can only act on information it can reliably find and understand. Critical intelligence is often trapped inside licensing agreements, talent deals, amendments, side letters, and other complex documents. xMentium turns that content into structured, contextualized data that AI, analytics, and operational systems can actually use.
xMentium combines multiple extraction techniques with confidence scoring and human-in-the-loop validation, delivering greater than 95% extraction accuracy, even across complex structured and unstructured content, creating traceable, dependable data.
Yes. xMentium is built for the documents that break conventional extraction approaches, including drawings, diagrams, scans, spreadsheets, nested tables, and specifications. It applies the right combination of OCR, visual language models, LLMs, and deterministic methods.
No. xMentium works with your existing repositories and enterprise systems. Your documents can stay where they are while xMentium makes the intelligence inside them available to business affairs, finance, analytics, and other downstream systems.